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HolStep: A Machine Learning Dataset for Higher-order Logic Theorem
  Proving

HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving

1 March 2017
C. Kaliszyk
François Chollet
Christian Szegedy
ArXiv (abs)PDFHTML

Papers citing "HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving"

30 / 30 papers shown
Title
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
235
14
0
03 Jan 2025
Learning Structure-Aware Representations of Dependent Types
Learning Structure-Aware Representations of Dependent Types
Konstantinos Kogkalidis
Orestis Melkonian
Jean-Philippe Bernardy
NAI
70
3
0
03 Feb 2024
The Tactician's Web of Large-Scale Formal Knowledge
The Tactician's Web of Large-Scale Formal Knowledge
Lasse Blaauwbroek
48
4
0
05 Jan 2024
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Kaiyu Yang
Aidan M. Swope
Alex Gu
Rahul Chalamala
Peiyang Song
Shixing Yu
Saad Godil
R. Prenger
Anima Anandkumar
RALM
150
247
0
27 Jun 2023
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLMLRM
133
150
0
20 Dec 2022
Genetic Algorithm for Program Synthesis
Genetic Algorithm for Program Synthesis
Yutaka Nagashima
74
1
0
22 Nov 2022
Thor: Wielding Hammers to Integrate Language Models and Automated
  Theorem Provers
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
Albert Q. Jiang
Wenda Li
Szymon Tworkowski
K. Czechowski
Tomasz Odrzygó'zd'z
Piotr Milo's
Yuhuai Wu
M. Jamnik
AIMatLRM
89
103
0
22 May 2022
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
115
6
0
19 Oct 2021
Learning Heuristics for Template-based CEGIS of Loop Invariants with
  Reinforcement Learning
Learning Heuristics for Template-based CEGIS of Loop Invariants with Reinforcement Learning
Minchao Wu
Takeshi Tsukada
Hiroshi Unno
Taro Sekiyama
Kohei Suenaga
80
0
0
16 Jul 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
117
127
0
11 Feb 2021
Faster Smarter Induction in Isabelle/HOL
Faster Smarter Induction in Isabelle/HOL
Yutaka Nagashima
87
7
0
19 Sep 2020
Verification of ML Systems via Reparameterization
Verification of ML Systems via Reparameterization
Jean-Baptiste Tristan
Joseph Tassarotti
Koundinya Vajjha
Michael L. Wick
A. Banerjee
AAML
34
6
0
14 Jul 2020
INT: An Inequality Benchmark for Evaluating Generalization in Theorem
  Proving
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Yuhuai Wu
Albert Qiaochu Jiang
Jimmy Ba
Roger C. Grosse
AIMat
105
55
0
06 Jul 2020
Learning to Prove from Synthetic Theorems
Learning to Prove from Synthetic Theorems
Eser Aygun
Zafarali Ahmed
Ankit Anand
Vlad Firoiu
Xavier Glorot
Laurent Orseau
Doina Precup
Shibl Mourad
NAI
70
20
0
19 Jun 2020
IsarStep: a Benchmark for High-level Mathematical Reasoning
IsarStep: a Benchmark for High-level Mathematical Reasoning
Wenda Li
Lei Yu
Yuhuai Wu
Lawrence Charles Paulson
AIMatLRM
77
10
0
13 Jun 2020
Simple Dataset for Proof Method Recommendation in Isabelle/HOL (Dataset
  Description)
Simple Dataset for Proof Method Recommendation in Isabelle/HOL (Dataset Description)
Yutaka Nagashima
34
4
0
21 Apr 2020
Teaching Temporal Logics to Neural Networks
Teaching Temporal Logics to Neural Networks
Christopher Hahn
Frederik Schmitt
Jens U. Kreber
M. Rabe
Bernd Finkbeiner
NAI
109
67
0
06 Mar 2020
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
128
14
0
13 Dec 2019
Property Invariant Embedding for Automated Reasoning
Property Invariant Embedding for Automated Reasoning
Miroslav Olsák
C. Kaliszyk
Josef Urban
NAI
61
41
0
27 Nov 2019
Improving Graph Neural Network Representations of Logical Formulae with
  Subgraph Pooling
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
Mayank Agarwal
Ibrahim Abdelaziz
Cristina Cornelio
Veronika Thost
Lingfei Wu
Kenneth D. Forbus
Achille Fokoue
NAIAI4CEGNN
174
36
0
15 Nov 2019
Towards Finding Longer Proofs
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRLLRM
83
16
0
30 May 2019
On Learning to Prove
On Learning to Prove
Daniel Huang
57
3
0
24 Apr 2019
HOList: An Environment for Machine Learning of Higher-Order Theorem
  Proving
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
Kshitij Bansal
Sarah M. Loos
M. Rabe
Christian Szegedy
S. Wilcox
AIMat
90
51
0
05 Apr 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Daniel Selsam
Nikolaj S. Bjørner
NAI
107
122
0
12 Mar 2019
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep
  Reinforcement Learning
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning
M. Kusumoto
Keisuke Yahata
Masahiro Sakai
AIMatLRM
61
11
0
02 Nov 2018
Premise selection with neural networks and distributed representation of
  features
Premise selection with neural networks and distributed representation of features
Andrzej S. Kucik
Konstantin Korovin
55
10
0
26 Jul 2018
GamePad: A Learning Environment for Theorem Proving
GamePad: A Learning Environment for Theorem Proving
Daniel Huang
Prafulla Dhariwal
Basel Alomair
Ilya Sutskever
103
111
0
02 Jun 2018
Automated proof synthesis for propositional logic with deep neural
  networks
Automated proof synthesis for propositional logic with deep neural networks
Taro Sekiyama
Kohei Suenaga
NAI
49
10
0
30 May 2018
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
102
133
0
28 Sep 2017
End-to-End Differentiable Proving
End-to-End Differentiable Proving
Tim Rocktaschel
Sebastian Riedel
NAI
124
382
0
31 May 2017
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